Behavioral periodicity detection from 24h waveform wrist accelerometry
Buman, Matthew P., Hu, Feiyan 
ORCID: 0000-0001-7451-6438, Newman, Eamonn ORCID: 0000-0002-0310-0539, Smeaton, Alan F. ORCID: 0000-0003-1028-8389 and Epstein, Dana R.
(2015)
Behavioral periodicity detection from 24h waveform wrist accelerometry.
In: International Conference on Ambulatory Monitoring of Physical Activity and Movement (ICAMPAM), 10-12 June 2015., Limerick, Ireland.
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Abstract
Develop a framework for identifying meaningful periodicities (i.e., repeating patterns) and the strength of these periodicities from 24h waveform wrist accelerometry
| Item Type: | Conference or Workshop Item (Poster) |
|---|---|
| Event Type: | Conference |
| Refereed: | Yes |
| Subjects: | Computer Science > Lifelog Computer Science > Machine learning Engineering > Signal processing Computer Science > Visualization Medical Sciences > Health Computer Science > Algorithms Medical Sciences > Physiology |
| DCU Faculties and Centres: | Research Initiatives and Centres > INSIGHT Centre for Data Analytics DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
| Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
| Funders: | Virginia G. Piper Charitable Trust, ASU/DCU Catalyst Fund, Science Foundation Ireland grant 12/RC/2289, European Community 7th Framework Programme (FP7/2007- 2013) under grant agreement 288199 (Dem@Care) |
| ID Code: | 20643 |
| Deposited On: | 15 Jun 2015 09:37 by Eamonn Newman . Last Modified 11 Oct 2018 12:51 |
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